2 citations · 4 across the 6 of their papers we have counts for
7 papers
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik
The brain prepares for learning even before interacting with the environment, by refining and optimizing its structures through spontaneous neural activity that resembles random no…
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee +1
The evolution of diffusion models has greatly impacted video generation and understanding. Particularly, text-to-video diffusion models (VDMs) have significantly facilitated the cu…
Self-supervised debiasing using low rank regularization
Geon Yeong Park, Chanyong Jung, Sangmin Lee +2
Spurious correlations can cause strong biases in deep neural networks, impairing generalization ability. While most existing debiasing methods require full supervision on either sp…
Training Debiased Subnetworks with Contrastive Weight Pruning
Geon Yeong Park, Sangmin Lee, Sang Wan Lee +1
Neural networks are often biased to spuriously correlated features that provide misleading statistical evidence that does not generalize. This raises an interesting question: ``Doe…
Reliably fast adversarial training via latent adversarial perturbation
Geon Yeong Park, Sang Wan Lee
While multi-step adversarial training is widely popular as an effective defense method against strong adversarial attacks, its computational cost is notoriously expensive, compared…
Information-theoretic regularization for Multi-source Domain Adaptation
Geon Yeong Park, Sang Wan Lee
Adversarial learning strategy has demonstrated remarkable performance in dealing with single-source Domain Adaptation (DA) problems, and it has recently been applied to Multi-sourc…
End-to-End Trainable Self-Attentive Shallow Network for Text-Independent Speaker Verification
Hyeonmook Park, Jungbae Park, Sang Wan Lee
Generalized end-to-end (GE2E) model is widely used in speaker verification (SV) fields due to its expandability and generality regardless of specific languages. However, the long-s…